Responsibilities
- Contribute your technical skills to a team of talented engineers to help innovate while keeping the platform stable, secure, and reliable.
- Work within a diverse team on exciting engineering initiatives, driving secure and efficient outcomes using the latest technology.
- Identify continuous improvement opportunities within our core ecosystem to enhance the application and developer experience.
- Collaborate with Senior and Principal Engineers to implement the strategic direction of our AI capabilities.
- Collaborate with business stakeholders on independent work assignments.
- Adopt a "value-first" mentality, working across the engineering team to understand the needs of both application teams and operational stakeholders.
- Actively participate in the engineering community, sharing knowledge and adopting best practices to ensure high-quality codebases.
- Cultivate a culture of curiosity and creative problem-solving within the team to drive continuous innovation.
- Support the "build and run" responsibilities for Enterprise AI products, ensuring robust support and integration into standard incident processes.
- Engage in hands‑on coding, building, and maintenance of AI‑driven applications.
- Design and build solutions with a focus on quality, including automated testing, security, and architectural alignment.
- Utilise and improve Continuous Integration and Continuous Delivery (CI/CD) pipelines to ensure efficient software delivery.
- Support internal and external application teams in resolving barriers related to the deployment and utilisation of engineering products.
- Come up with the resolution of technical issues, ensuring sound and scalable solutions.
- Bring innovative ideas and solutions to the team.
Minimum Qualifications
- Proven Experience: Solid experience delivering and maintaining software products within a DevSecOps and AI environment.
- Practical hands‑on experience (or strong theoretical knowledge) with RAG, LLMs, and MLOps.
- Programming: Proficiency in Python, React, and TypeScript.
- Passion for Innovation: A genuine eagerness to stay current with the latest AI research, trends, and emerging technologies.
- Cloud & Infrastructure: Experience with Cloud platforms (ideally GCP or Azure) and familiarity with Infrastructure as Code (e.g., Terraform).
- Communication: Ability to explain technical topics clearly to team members and stakeholders to encourage adoption.
- Operational Mindset: Experience ensuring internal products are well‑maintained, supported, and iterated upon based on user feedback.
Preferred Qualifications
- Familiarity with NLP, Embeddings, and Prompt Engineering is highly desirable.
- Global Collaboration: Experience or willingness to work across different time zones as part of a global organisation.
Travel: 0% - Not specified
Location: UK - Hook (Hybrid - Three days per week in the office)
Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
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